The integration of artificial intelligence into dermatology has progressed from experimental validation to real-world clinical application. AI-assisted skin analysis tools, including systems such as Autoderm, are increasingly utilised for preliminary assessment and triage, with measurable effects on diagnostic efficiency, patient engagement, and the use of healthcare resources.
This article synthesises expert insights from Prof. Dr. Daniela Hartmann (Department of Dermatology, Allergology and Laser Medicine, Munich), who, in a recent interview with Medscape Germany, provides a measured and critical perspective on the evolving role of AI in dermatological practice. It focuses on clinical utility, validation standards, patient interaction, and system limitations. It also highlights the role of explainable AI (XAI) in human-machine collaboration.
